Prometheus 模块

metricbeat.modules:
# Metrics collected from a Prometheus endpoint
- module: prometheus
  period: 10s
  metricsets: ["collector"]
  hosts: ["localhost:9090"]
  metrics_path: /metrics
  #metrics_filters:
  #  include: []
  #  exclude: []
  #username: "user"
  #password: "secret"

  # Count number of metrics present in Elasticsearch document (default: false)
  #metrics_count: false

  # This can be used for service account based authorization:
  #bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
  #ssl.certificate_authorities:
  #  - /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt


# Metrics sent by a Prometheus server using remote_write option
#- module: prometheus
#  metricsets: ["remote_write"]
#  host: "localhost"
#  port: "9201"

  # Count number of metrics present in Elasticsearch document (default: false)
  #metrics_count: false

  # Secure settings for the server using TLS/SSL:
  #ssl.certificate: "/etc/pki/server/cert.pem"
  #ssl.key: "/etc/pki/server/cert.key"

# Metrics that will be collected using a PromQL
#- module: prometheus
#  metricsets: ["query"]
#  hosts: ["localhost:9090"]
#  period: 10s
#  queries:
#  - name: "instant_vector"
#    path: "/api/v1/query"
#    params:
#      query: "sum(rate(prometheus_http_requests_total[1m]))"
#  - name: "range_vector"
#    path: "/api/v1/query_range"
#    params:
#      query: "up"
#      start: "2019-12-20T00:00:00.000Z"
#      end:  "2019-12-21T00:00:00.000Z"
#      step: 1h
#  - name: "scalar"
#    path: "/api/v1/query"
#    params:
#      query: "100"
#  - name: "string"
#    path: "/api/v1/query"
#    params:
#      query: "some_value"